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<a href="#pub-types">Public 类型</a> &#124;
<a href="#pub-methods">Public 成员函数</a> &#124;
<a href="#pri-methods">Private 成员函数</a> &#124;
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<div class="title">pcl::apps::DominantPlaneSegmentation&lt; PointType &gt; 模板类 参考</div>  </div>
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<p><b><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html" title="DominantPlaneSegmentation performs euclidean segmentation on a scene assuming that a dominant plane e...">DominantPlaneSegmentation</a></b> performs euclidean segmentation on a scene assuming that a dominant plane exists.  
 <a href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#details">更多...</a></p>

<p><code>#include &lt;<a class="el" href="dominant__plane__segmentation_8h_source.html">dominant_plane_segmentation.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public 类型</h2></td></tr>
<tr class="memitem:a89b30b7097f6396b1940e40bff1a34cb"><td class="memItemLeft" align="right" valign="top"><a id="a89b30b7097f6396b1940e40bff1a34cb"></a>
typedef <a class="el" href="classpcl_1_1_point_cloud.html">pcl::PointCloud</a>&lt; PointType &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Cloud</b></td></tr>
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typedef Cloud::Ptr&#160;</td><td class="memItemRight" valign="bottom"><b>CloudPtr</b></td></tr>
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typedef Cloud::ConstPtr&#160;</td><td class="memItemRight" valign="bottom"><b>CloudConstPtr</b></td></tr>
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typedef <a class="el" href="classpcl_1_1search_1_1_kd_tree.html">pcl::search::KdTree</a>&lt; PointType &gt;::Ptr&#160;</td><td class="memItemRight" valign="bottom"><b>KdTreePtr</b></td></tr>
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Public 成员函数</h2></td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>compute</b> (std::vector&lt; CloudPtr &gt; &amp;clusters)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>compute_full</b> (std::vector&lt; CloudPtr &gt; &amp;clusters)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>compute_fast</b> (std::vector&lt; CloudPtr &gt; &amp;clusters)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>compute_table_plane</b> ()</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>setInputCloud</b> (CloudPtr &amp;cloud_in)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>getTableCoefficients</b> (Eigen::Vector4f &amp;model)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>setDistanceBetweenClusters</b> (float d)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>setMinClusterSize</b> (int size)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>setMaxZBounds</b> (double z)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>setSACThreshold</b> (double d)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>setWSize</b> (int w)</td></tr>
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void&#160;</td><td class="memItemRight" valign="bottom"><b>getIndicesClusters</b> (std::vector&lt; <a class="el" href="structpcl_1_1_point_indices.html">pcl::PointIndices</a> &gt; &amp;indices)</td></tr>
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Private 成员函数</h2></td></tr>
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int&#160;</td><td class="memItemRight" valign="bottom"><b>check</b> (<a class="el" href="structpcl_1_1_point_x_y_z_i.html">pcl::PointXYZI</a> &amp;p1, <a class="el" href="structpcl_1_1_point_x_y_z_i.html">pcl::PointXYZI</a> &amp;p2, float, float max_dist)</td></tr>
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Private 属性</h2></td></tr>
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<a class="el" href="classpcl_1_1_pass_through.html">pcl::PassThrough</a>&lt; PointType &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>pass_</b></td></tr>
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<a class="el" href="classpcl_1_1_voxel_grid.html">pcl::VoxelGrid</a>&lt; PointType &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>grid_</b></td></tr>
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<a class="el" href="classpcl_1_1_normal_estimation.html">pcl::NormalEstimation</a>&lt; PointType, <a class="el" href="structpcl_1_1_normal.html">pcl::Normal</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>n3d_</b></td></tr>
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<a class="el" href="classpcl_1_1_s_a_c_segmentation_from_normals.html">pcl::SACSegmentationFromNormals</a>&lt; PointType, <a class="el" href="structpcl_1_1_normal.html">pcl::Normal</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>seg_</b></td></tr>
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<a class="el" href="classpcl_1_1_project_inliers.html">pcl::ProjectInliers</a>&lt; PointType &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>proj_</b></td></tr>
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<tr class="memitem:afa5c259ac04cf06262e2d66f77d394b3"><td class="memItemLeft" align="right" valign="top"><a id="afa5c259ac04cf06262e2d66f77d394b3"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#afa5c259ac04cf06262e2d66f77d394b3">k_</a></td></tr>
<tr class="memdesc:afa5c259ac04cf06262e2d66f77d394b3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of neighbors for normal estimation <br /></td></tr>
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<tr class="memitem:aa40182ea911263a621e9dd878b492b2c"><td class="memItemLeft" align="right" valign="top"><a id="aa40182ea911263a621e9dd878b492b2c"></a>
double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#aa40182ea911263a621e9dd878b492b2c">min_z_bounds_</a></td></tr>
<tr class="memdesc:aa40182ea911263a621e9dd878b492b2c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Keep points farther away than min_z_bounds <br /></td></tr>
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<tr class="memitem:a0ac3e665f2f6d1dea378461af19b06d4"><td class="memItemLeft" align="right" valign="top"><a id="a0ac3e665f2f6d1dea378461af19b06d4"></a>
double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#a0ac3e665f2f6d1dea378461af19b06d4">max_z_bounds_</a></td></tr>
<tr class="memdesc:a0ac3e665f2f6d1dea378461af19b06d4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Keep points closer than max_z_bounds <br /></td></tr>
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double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#a643f6f900d0fe8d43296fa83dddb0680">sac_distance_threshold_</a></td></tr>
<tr class="memdesc:a643f6f900d0fe8d43296fa83dddb0680"><td class="mdescLeft">&#160;</td><td class="mdescRight">Threshold for SAC plane segmentation <br /></td></tr>
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<tr class="memitem:a3aaf2b0204139b3190a314589a3220a0"><td class="memItemLeft" align="right" valign="top"><a id="a3aaf2b0204139b3190a314589a3220a0"></a>
double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#a3aaf2b0204139b3190a314589a3220a0">object_min_height_</a></td></tr>
<tr class="memdesc:a3aaf2b0204139b3190a314589a3220a0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Min height from the table plane object points will be considered from <br /></td></tr>
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double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#aee1c5916f73ba2b25b1c7045495aa753">object_max_height_</a></td></tr>
<tr class="memdesc:aee1c5916f73ba2b25b1c7045495aa753"><td class="mdescLeft">&#160;</td><td class="mdescRight">Max height from the table plane <br /></td></tr>
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float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#ad7b769ec0e67f7e1f2c2d4ac2f2be38c">object_cluster_tolerance_</a></td></tr>
<tr class="memdesc:ad7b769ec0e67f7e1f2c2d4ac2f2be38c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tolerance between different clusters <br /></td></tr>
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int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#a9a5ee5d613ad3d3936f6937124eae483">object_cluster_min_size_</a></td></tr>
<tr class="memdesc:a9a5ee5d613ad3d3936f6937124eae483"><td class="mdescLeft">&#160;</td><td class="mdescRight">Minimum size for a cluster, clusters smaller than this won't be returned <br /></td></tr>
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<tr class="memitem:ac95c62b0056e1f2ca1d21db6411a7407"><td class="memItemLeft" align="right" valign="top"><a id="ac95c62b0056e1f2ca1d21db6411a7407"></a>
int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#ac95c62b0056e1f2ca1d21db6411a7407">wsize_</a></td></tr>
<tr class="memdesc:ac95c62b0056e1f2ca1d21db6411a7407"><td class="mdescLeft">&#160;</td><td class="mdescRight">Window size in pixels for CC in compute_fast method <br /></td></tr>
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std::vector&lt; <a class="el" href="structpcl_1_1_point_indices.html">pcl::PointIndices</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html#a1386af3288ce01611994449d6b75d651">indices_clusters_</a></td></tr>
<tr class="memdesc:a1386af3288ce01611994449d6b75d651"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indices of the clusters to the main cloud found by the segmentation <br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">详细描述</h2>
<div class="textblock"><h3>template&lt;typename PointType&gt;<br />
class pcl::apps::DominantPlaneSegmentation&lt; PointType &gt;</h3>

<p><b><a class="el" href="classpcl_1_1apps_1_1_dominant_plane_segmentation.html" title="DominantPlaneSegmentation performs euclidean segmentation on a scene assuming that a dominant plane e...">DominantPlaneSegmentation</a></b> performs euclidean segmentation on a scene assuming that a dominant plane exists. </p>
<dl class="section author"><dt>作者</dt><dd>Aitor Aldoma </dd></dl>
</div><hr/>该类的文档由以下文件生成:<ul>
<li>apps/include/pcl/apps/<a class="el" href="dominant__plane__segmentation_8h_source.html">dominant_plane_segmentation.h</a></li>
<li>apps/include/pcl/apps/impl/<a class="el" href="dominant__plane__segmentation_8hpp_source.html">dominant_plane_segmentation.hpp</a></li>
</ul>
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